World's Best Scientists 2026 revealed!
IEEE

2022 International Conference on Networking and Network Applications (NaNA)

Location: Urumqi , China

Submission deadline: 4/15/2022

Conference dates: 8/19/2022 - 8/22/2022

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 669 7 19 3
Computer Science 511 30 50 7

Call for Papers

Topics of interest include, but are not limited to:

Track 1: Wireless Networks
* 5G, 6G and Beyond
* Wireless Ad Hoc, Mesh and Delay Tolerant Networks
* Cognitive Wireless Networks
* Wireless Sensor Networks
* Mobile Internet and Mobile Social Network
* Wireless Vehicle Networks
* Emerging Wireless/Mobile Applications
* Security & Privacy in Wireless Networks
* Physical Layer and Cross-Layer Security Methods
* Signal Processing for Wireless Communications
* Molecular Communication and Nanonetwork

Track 2: Wired Networks and Data Center (DC) Networks
* Novel Architectures and Technologies for Wired Networks
* Wired Network Survivability
* Wired Network Control and Management
* Advances in Routers and Switches
* Security & Privacy in Wired Networks
* Convergence of Wired and Wireless Networks
* DC Network Architecture & Protocols
* DC Storage Architecture

Track 3: Network Management, Monitoring and Automation
* Network Management and Visualization
* Network Monitoring and Industrial Tools and Technologies
* Next Generation Network Administration and Industrial Challenges
* Disaster Readiness and Management
* Network Automation
* Network Control Method

Track 4: Network Applications
* Architecture and Systems Design for Internet of Things (IoTs)
* IoT Applications and Services.
* End to End / Machine to Machine (M2M) Protocols
* Crowd-Sourcing and Opportunistic IoT
* Innovative Algorithms and Data Analysis Techniques for IoTs
* Fundamentals of Cloud Computing
* Cloud Architectures & Cloud Storage Technologies
* Cloud Energy Efficiency
* Mobile & Social cloud
* Big Data Theory, Applications and Challenges
* Big Data Placement, Scheduling, and Optimization
* Big Data Design, Models and Algorithms
* Big Data Protection and Integrity
* Deployments, Test-beds and Field Trials

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